Hugging Face's logo

Datasets:
aimosprite
/
eval-rollouts

Dataset card Data Studio Files
xet
 Community
Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 10 new columns ({'response', 'response_length', 'elapsed_s', 'prompt_tokens', 'python_calls', 'completion_tokens', 'extracted_answer', 'expected_answer', 'python_errors', 'turns'}) and 2 missing columns ({'answer', 'expected'}).

This happened while the json dataset builder was generating data using

hf://datasets/aimosprite/eval-rollouts/qwen35-35b-all-datasets/aime2026_results.jsonl (at revision 023d538d363a24a45f5c437e61daf8f4525a7292), [/tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_results.jsonl)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              attempt: int64
              response: string
              extracted_answer: string
              expected_answer: string
              correct: bool
              response_length: int64
              elapsed_s: double
              prompt_tokens: int64
              completion_tokens: int64
              python_calls: int64
              python_errors: int64
              turns: int64
              to
              {'id': Value('string'), 'attempt': Value('int64'), 'answer': Value('string'), 'expected': Value('string'), 'correct': Value('bool')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 10 new columns ({'response', 'response_length', 'elapsed_s', 'prompt_tokens', 'python_calls', 'completion_tokens', 'extracted_answer', 'expected_answer', 'python_errors', 'turns'}) and 2 missing columns ({'answer', 'expected'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/aimosprite/eval-rollouts/qwen35-35b-all-datasets/aime2026_results.jsonl (at revision 023d538d363a24a45f5c437e61daf8f4525a7292), [/tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/aime2026_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/astralbench_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtfeb2026_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/hmmtnov2025_results.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_answers.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_answers.jsonl), /tmp/hf-datasets-cache/medium/datasets/55022142396208-config-parquet-and-info-aimosprite-eval-rollouts-e6aca7d9/hub/datasets--aimosprite--eval-rollouts/snapshots/023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_results.jsonl (origin=hf://datasets/aimosprite/eval-rollouts@023d538d363a24a45f5c437e61daf8f4525a7292/qwen35-35b-all-datasets/imoanswerbench_results.jsonl)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
string
attempt
int64
answer
string
expected
string
correct
bool
aime_2026i_5
0
65
065
true
aime_2026i_5
1
65
065
true
aime_2026i_5
2
65
065
true
aime_2026i_5
3
65
065
true
aime_2026i_5
4
65
065
true
aime_2026i_5
5
65
065
true
aime_2026i_5
6
65
065
true
aime_2026i_5
7
65
065
true
aime_2026i_5
8
65
065
true
aime_2026i_5
9
65
065
true
aime_2026i_5
10
65
065
true
aime_2026i_5
11
65
065
true
aime_2026i_5
12
65
065
true
aime_2026i_5
13
65
065
true
aime_2026i_5
14
65
065
true
aime_2026i_5
15
65
065
true
aime_2026ii_1
0
14 + 24 + 54 + 104
196
true
aime_2026ii_1
1
196
196
true
aime_2026ii_1
2
196
196
true
aime_2026ii_1
3
196
196
true
aime_2026ii_1
4
196
196
true
aime_2026ii_1
5
196
196
true
aime_2026ii_1
6
196
196
true
aime_2026ii_1
7
196
196
true
aime_2026ii_1
8
196
196
true
aime_2026ii_1
9
196
196
true
aime_2026ii_1
10
196
196
true
aime_2026ii_1
11
196
196
true
aime_2026ii_1
12
196
196
true
aime_2026ii_1
13
196
196
true
aime_2026ii_1
14
196
196
true
aime_2026ii_1
15
196
196
true
aime_2026i_3
0
79
079
true
aime_2026i_3
1
79
079
true
aime_2026i_3
2
79
079
true
aime_2026i_3
3
null
079
false
aime_2026i_3
4
79
079
true
aime_2026i_3
5
79
079
true
aime_2026i_3
6
79
079
true
aime_2026i_3
7
79
079
true
aime_2026i_3
8
79
079
true
aime_2026i_3
9
79
079
true
aime_2026i_3
10
79
079
true
aime_2026i_3
11
79
079
true
aime_2026i_3
12
79
079
true
aime_2026i_3
13
79
079
true
aime_2026i_3
14
79
079
true
aime_2026i_3
15
79
079
true
aime_2026i_7
0
396
396
true
aime_2026i_7
1
396
396
true
aime_2026i_7
2
396
396
true
aime_2026i_7
3
null
396
false
aime_2026i_7
4
396
396
true
aime_2026i_7
5
396
396
true
aime_2026i_7
6
396
396
true
aime_2026i_7
7
396
396
true
aime_2026i_7
8
396
396
true
aime_2026i_7
9
396
396
true
aime_2026i_7
10
396
396
true
aime_2026i_7
11
396
396
true
aime_2026i_7
12
396
396
true
aime_2026i_7
13
396
396
true
aime_2026i_7
14
396
396
true
aime_2026i_7
15
396
396
true
aime_2026i_8
0
244
244
true
aime_2026i_8
1
244
244
true
aime_2026i_8
2
244
244
true
aime_2026i_8
3
244
244
true
aime_2026i_8
4
244
244
true
aime_2026i_8
5
244
244
true
aime_2026i_8
6
244
244
true
aime_2026i_8
7
244
244
true
aime_2026i_8
8
244
244
true
aime_2026i_8
9
244
244
true
aime_2026i_8
10
244
244
true
aime_2026i_8
11
244
244
true
aime_2026i_8
12
244
244
true
aime_2026i_8
13
244
244
true
aime_2026i_8
14
244
244
true
aime_2026i_8
15
244
244
true
aime_2026i_12
0
161
161
true
aime_2026i_12
1
161
161
true
aime_2026i_12
2
161
161
true
aime_2026i_12
3
161
161
true
aime_2026i_12
4
161
161
true
aime_2026i_12
5
161
161
true
aime_2026i_12
6
161
161
true
aime_2026i_12
7
161
161
true
aime_2026i_12
8
161
161
true
aime_2026i_12
9
161
161
true
aime_2026i_12
10
161
161
true
aime_2026i_12
11
161
161
true
aime_2026i_12
12
161
161
true
aime_2026i_12
13
161
161
true
aime_2026i_12
14
161
161
true
aime_2026i_12
15
161
161
true
aime_2026i_11
0
896
896
true
aime_2026i_11
1
896
896
true
aime_2026i_11
2
896
896
true
aime_2026i_11
3
896
896
true
End of preview.

No dataset card yet
Downloads last month
-
Total file size:
391 MB